Appropriate convolutional neural network architecture when the input consists of two distinct signals
I don't know what you mean by desctized signals but if I understand your question correctly, separating two signal and passing them through same architecture of CNN (even with different parameters) is not a good idea. Because when they are together (as different channels) they will be treated differently by the CNN (each channel has its own parameters) and even this way the network is able to combine these two signals and get better results by information extracted from this combination.